CDP / SAP Emarsys Data Engineer

🗓️ Posted 2026-09-08 Dubai, Dubai, Dubai, United Arab Emirates, United Arab Emirates Full-time Hybrid ICT

Company shared salary

NA

Market rate

AED 20,000–AED 30,000/mo (AED 240,000–AED 360,000/yr)

Based on similar roles (title + domain + location).

Responsibilities

  • Valleysoft is an IT services and technology solutions provider supporting organizations with enterprise software, digital transformation, process improvement, and infrastructure services. Working across the Information Technology and Services sector, the company helps clients solve complex operational and data challenges through practical, scalable technology solutions.
  • In this role, you will help shape customer data capabilities that support connected marketing and business outcomes. As a CDP / SAP Emarsys Data Engineer, you will work across customer data platforms, integration points, and downstream systems to enable reliable data flows, improve data usability, and support teams that depend on accurate, well-structured customer information.
  • Responsibilities
  • Design, develop, and maintain customer data ingestion and transformation processes.
  • Develop and support integrations between source systems, CDP, SAP Emarsys, and downstream platforms.
  • Build and maintain data pipelines and ETL processes.
  • Work with customer data models and data structures.
  • Ensure data quality, consistency, governance, and performance.
  • Support customer segmentation and marketing data requirements.
  • Support campaign and customer analytics requirements.
  • Troubleshoot data integration and data quality issues.
  • Analyze data-related incidents and implement appropriate resolutions.
  • Collaborate with functional, marketing, integration, and technical teams.
  • Support testing, deployment, and production activities.
  • Required Qualifications
  • + years of experience in data engineering, customer data, or data integration.
  • Hands-on experience with Customer Data Platforms (CDP) and/or SAP Emarsys.
  • Strong SQL skills, with experience in ETL and data transformation processes.
  • Solid understanding of data quality and data governance.
  • Professional proficiency in English.